{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:CJC4H5CUJXUZS545ZC4XPKROAR","short_pith_number":"pith:CJC4H5CU","schema_version":"1.0","canonical_sha256":"1245c3f4544de999779dc8b977aa2e047b805c40cebc844609a72695f61cd54a","source":{"kind":"arxiv","id":"2305.00121","version":1},"attestation_state":"computed","paper":{"title":"Learning Locally Editable Virtual Humans","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hsuan-I Ho, Jie Song, Lixin Xue, Otmar Hilliges","submitted_at":"2023-04-28T23:06:17Z","abstract_excerpt":"In this paper, we propose a novel hybrid representation and end-to-end trainable network architecture to model fully editable and customizable neural avatars. At the core of our work lies a representation that combines the modeling power of neural fields with the ease of use and inherent 3D consistency of skinned meshes. To this end, we construct a trainable feature codebook to store local geometry and texture features on the vertices of a deformable body model, thus exploiting its consistent topology under articulation. This representation is then employed in a generative auto-decoder archite"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2305.00121","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-28T23:06:17Z","cross_cats_sorted":[],"title_canon_sha256":"eb0477db9caf036ad1b3f76b80b5df4020f496d4434803078b5664978b21cbcb","abstract_canon_sha256":"f7ba353cc6edff8c0d9f3f1da1b8899a72c801eca0eb9b6a26ec9dfb32b0bf02"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:05:37.717962Z","signature_b64":"dxS9H15rmW4YHwisapgX6YJAV6Mge5YSvMXRZyiBwzS+KzLFKtiugHeHZXEn9kopG8h3Us2UR0nXDYfKclThBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1245c3f4544de999779dc8b977aa2e047b805c40cebc844609a72695f61cd54a","last_reissued_at":"2026-07-05T06:05:37.717558Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:05:37.717558Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning Locally Editable Virtual Humans","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hsuan-I Ho, Jie Song, Lixin Xue, Otmar Hilliges","submitted_at":"2023-04-28T23:06:17Z","abstract_excerpt":"In this paper, we propose a novel hybrid representation and end-to-end trainable network architecture to model fully editable and customizable neural avatars. At the core of our work lies a representation that combines the modeling power of neural fields with the ease of use and inherent 3D consistency of skinned meshes. To this end, we construct a trainable feature codebook to store local geometry and texture features on the vertices of a deformable body model, thus exploiting its consistent topology under articulation. This representation is then employed in a generative auto-decoder archite"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.00121","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2305.00121/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2305.00121","created_at":"2026-07-05T06:05:37.717621+00:00"},{"alias_kind":"arxiv_version","alias_value":"2305.00121v1","created_at":"2026-07-05T06:05:37.717621+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.00121","created_at":"2026-07-05T06:05:37.717621+00:00"},{"alias_kind":"pith_short_12","alias_value":"CJC4H5CUJXUZ","created_at":"2026-07-05T06:05:37.717621+00:00"},{"alias_kind":"pith_short_16","alias_value":"CJC4H5CUJXUZS545","created_at":"2026-07-05T06:05:37.717621+00:00"},{"alias_kind":"pith_short_8","alias_value":"CJC4H5CU","created_at":"2026-07-05T06:05:37.717621+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CJC4H5CUJXUZS545ZC4XPKROAR","json":"https://pith.science/pith/CJC4H5CUJXUZS545ZC4XPKROAR.json","graph_json":"https://pith.science/api/pith-number/CJC4H5CUJXUZS545ZC4XPKROAR/graph.json","events_json":"https://pith.science/api/pith-number/CJC4H5CUJXUZS545ZC4XPKROAR/events.json","paper":"https://pith.science/paper/CJC4H5CU"},"agent_actions":{"view_html":"https://pith.science/pith/CJC4H5CUJXUZS545ZC4XPKROAR","download_json":"https://pith.science/pith/CJC4H5CUJXUZS545ZC4XPKROAR.json","view_paper":"https://pith.science/paper/CJC4H5CU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2305.00121&json=true","fetch_graph":"https://pith.science/api/pith-number/CJC4H5CUJXUZS545ZC4XPKROAR/graph.json","fetch_events":"https://pith.science/api/pith-number/CJC4H5CUJXUZS545ZC4XPKROAR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CJC4H5CUJXUZS545ZC4XPKROAR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CJC4H5CUJXUZS545ZC4XPKROAR/action/storage_attestation","attest_author":"https://pith.science/pith/CJC4H5CUJXUZS545ZC4XPKROAR/action/author_attestation","sign_citation":"https://pith.science/pith/CJC4H5CUJXUZS545ZC4XPKROAR/action/citation_signature","submit_replication":"https://pith.science/pith/CJC4H5CUJXUZS545ZC4XPKROAR/action/replication_record"}},"created_at":"2026-07-05T06:05:37.717621+00:00","updated_at":"2026-07-05T06:05:37.717621+00:00"}